# GPT-5.3 Chat vs Qwen2-72B

> GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 29.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-3-chat-vs-qwen2-72b
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and Qwen2-72B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.3 to 41.0.
- Qwen2-72B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.1 | 29.5 |
| Rank | 109 | 294 |
| Context | 128K | — |
| Input $/M | $1.75 | — |
| Output $/M | $14 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Chat: 40.8 (#124)
- Qwen2-72B: 28.7 (#303)

| Benchmark | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| LMArena Coding | 1408 | 1196 |
| WeirdML | — | 11.3% |
| BigCodeBench Instruct | — | 38.5% |
| BigCodeBench Complete | — | 54% |

## Agentic & Tool Use

- GPT-5.3 Chat: —
- Qwen2-72B: 16.9 (#138)

| Benchmark | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| TheAgentCompany | — | 1.1% |
| METR Time Horizons | — | 29.9% |

## Reasoning

- GPT-5.3 Chat: 27.3 (#105)
- Qwen2-72B: 22.2 (#184)

| Benchmark | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1191 |
| Epoch Capabilities Index | — | 125.27 |

## Math

- GPT-5.3 Chat: 35.4 (#146)
- Qwen2-72B: 27.9 (#232)

| Benchmark | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| LMArena Math | 1389 | 1235 |
| MATH Level 5 | — | 39.1% |

## Knowledge

- GPT-5.3 Chat: 38.2 (#137)
- Qwen2-72B: 21.2 (#270)

| Benchmark | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| LMArena Expert | 1397 | 1171 |
| GPQA Diamond | — | 40.8% |
| MMLU | — | 82.4% |

## Multilingual

- GPT-5.3 Chat: 50.5 (#119)
- Qwen2-72B: 36.0 (#239)

| Benchmark | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| LMArena Non-English | 1383 | 1176 |
| LMArena Chinese | 1433 | 1240 |
| LMArena French | 1398 | 1169 |
| LMArena German | 1384 | 1151 |
| LMArena Japanese | 1351 | 1111 |
| LMArena Korean | 1347 | 1083 |
| LMArena Russian | 1400 | 1169 |
| LMArena Spanish | 1371 | 1168 |

## Instruction Following

- GPT-5.3 Chat: 73.0 (#124)
- Qwen2-72B: 62.0 (#236)

| Benchmark | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| LMArena Instruction Following | 1378 | 1181 |

## Long Context

- GPT-5.3 Chat: 42.6 (#115)
- Qwen2-72B: 36.1 (#230)

| Benchmark | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| LMArena Longer Query | 1396 | 1193 |

## Writing & Preference

- GPT-5.3 Chat: 63.3 (#65)
- Qwen2-72B: 41.0 (#236)

| Benchmark | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| LMArena Text | 1389 | 1203 |
| LMArena Creative Writing | 1356 | 1181 |
| LMArena Multi-Turn | 1413 | 1195 |
| EQ-Bench Creative Writing | 1690 | — |

## FAQ

### Is GPT-5.3 Chat better than Qwen2-72B?

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 29.5 on the Noometry Index.

### Is GPT-5.3 Chat or Qwen2-72B better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 28.7 in the Noometry coding category.

### How many benchmarks do GPT-5.3 Chat and Qwen2-72B share?

17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen2-72B has 26.